A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorBoguslawski, Krzysztofen_US
dc.contributor.authorNasur, Janen_US
dc.contributor.authorLi, Jieen_US
dc.contributor.authorGil, Mateuszen_US
dc.contributor.authorWrobel, Krzysztofen_US
dc.contributor.authorGoerlandt, Florisen_US
dc.contributor.departmentDepartment of Energy and Mechanical Engineeringen
dc.contributor.groupauthorMarine Technologyen
dc.contributor.organizationGdynia Maritime Universityen_US
dc.contributor.organizationChinese Academy of Sciencesen_US
dc.contributor.organizationDalhousie Universityen_US
dc.date.accessioned2022-06-08T06:12:53Z
dc.date.available2022-06-08T06:12:53Z
dc.date.issued2022en_US
dc.description.abstractHighly automated vehicles are making their way towards implementation in many modes of transportation, including shipping. From the safety perspective, it is critically important that such vehicles or the operators overseeing them maintain their sense of the environment, also referred to as situational awareness. The present study investigates the worldwide research effort focusing on situational awareness for autonomous transport and explores how the maritime domain could benefit from it. The results indicate that most of the research originates from the automotive sector, but the topic is developing fast in other transportation modes too. Some findings have been shared across the modes of transportation, but only to a limited extent. Although technology development is performed based on the achievements within basic research domains, there has been little feedback from applied sciences. Similarly, collaborative research is not strongly developed.en
dc.description.versionPeer revieweden
dc.format.extent15
dc.format.extent50047-50061
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationBoguslawski, K, Nasur, J, Li, J, Gil, M, Wrobel, K & Goerlandt, F 2022, ' A Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domain ', IEEE Access, vol. 10, pp. 50047-50061 . https://doi.org/10.1109/ACCESS.2022.3174097en
dc.identifier.doi10.1109/ACCESS.2022.3174097en_US
dc.identifier.issn2169-3536
dc.identifier.otherPURE UUID: 94604623-1c2d-411e-9858-3567ca66bc64en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/94604623-1c2d-411e-9858-3567ca66bc64en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/83505255/A_Cross_Domain_Scientometric_Analysis_of_Situational_Awareness_of_Autonomous_Vehicles_With_Focus_on_the_Maritime_Domain.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/114780
dc.identifier.urnURN:NBN:fi:aalto-202206083623
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofseriesIEEE Accessen
dc.relation.ispartofseriesVolume 10en
dc.rightsopenAccessen
dc.subject.keywordTransportationen_US
dc.subject.keywordBibliometricsen_US
dc.subject.keywordSafetyen_US
dc.subject.keywordMarket researchen_US
dc.subject.keywordAutonomous vehiclesen_US
dc.subject.keywordIndexesen_US
dc.subject.keywordCollaborationen_US
dc.subject.keywordAutonomous transportationen_US
dc.subject.keywordautonomous vehiclesen_US
dc.subject.keywordsafety of transportationen_US
dc.subject.keywordscientometricsen_US
dc.subject.keywordsituation awarenessen_US
dc.subject.keywordDRIVER TAKEOVERen_US
dc.subject.keywordTRENDSen_US
dc.subject.keywordAUTOMATIONen_US
dc.subject.keywordSAFETYen_US
dc.subject.keywordTIMEen_US
dc.subject.keywordPERFORMANCEen_US
dc.subject.keywordPATTERNSen_US
dc.subject.keywordNETWORKen_US
dc.subject.keywordIRONIESen_US
dc.titleA Cross-Domain Scientometric Analysis of Situational Awareness of Autonomous Vehicles With Focus on the Maritime Domainen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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